Robots Can’t Feel

Today’s robots are essentially blind to touch. They can see with cameras and navigate with sensors, but they have no reliable way to sense pressure, texture, or force across their surfaces — making delicate manipulation tasks nearly impossible. Grasping a raw egg, folding laundry, or assembling a fragile component requires the kind of nuanced feedback that only a true sense of touch can provide. Without it, robots remain limited to rigid, structured environments far removed from the complexity of the real world.

What They’re Building

Sensetics is building a hardware platform that digitizes the sense of touch for robots, combining high-resolution touch sensing with programmable haptic feedback in a single integrated system. Rather than bolting on a sensor as an afterthought, Sensetics is designing tactile intelligence directly into robotic hardware — enabling robots to detect contact forces, surface properties, and object geometry with the same fidelity that human hands rely on every day. The platform is built to be modular and scalable, designed for integration across robotic grippers, prosthetics, and other manipulation systems.

Sensetics raised a $1.75M pre-seed round to accelerate development of its touch sensing and haptics platform. The raise signals early investor conviction that digitizing tactile feedback is a foundational missing layer in the robotics stack, one that will become increasingly critical as humanoid robots and collaborative automation move from warehouses into more complex, contact-rich environments.

Growth

As robotic manipulation becomes a core battleground for companies building general-purpose robots, the demand for reliable, high-fidelity touch sensing is accelerating. Sensetics is positioned at an inflection point — with hardware that addresses a capability gap that neither camera-based perception nor traditional force sensors can close. The company’s focus on a full-stack haptics platform, spanning sensing and feedback, gives it a technically differentiated foundation to expand into prosthetics, surgical robotics, and consumer electronics beyond its initial robotic manipulation use case.